【摘要】 多用户混合业务的多载波认知无线电系统中,考虑频谱感知错误的实际情况,将分组比例公平思想融入资源分配中,提出一种改进群智能优化算法。该算法针对混合型业务,确保不同用户公平性以及基于滤波器组多载波(FBMC)技术前提下,引入状态因子,以最大化认知无线电系统吞吐量为目标,利用改进群智能算法合理分配系统资源。比较FBMC和OFDM的认知无线电系统,仿真分析表明,该算法在对授权用户通信影响很小的情况下,系统容量优于OFDM的认知无线电系统容量,且确保用户的公平,同时满足混合业务的QoS需求。更多还原

【Abstract】 In the multi-carrier cognitive radio system with multiuser mixed business,the grouping proportional fairness thought is fused into the resource allocation according to the actual situation of spectrum sensing error to propose an improved swarm intelligence algorithm. On the promising the fairness of different users and on the basis of filter bank multicarrier(FBMC)technology,the state factor is introduced into the algorithm for mixed business to maximize the cognitive radio system.The swam intelligence algorithm is used to allocate the system resources reasonably for the multiuser business. The cognitive radio systems based on FBMC and OFDM are compared. The simulation analysis results show that the capacity of cognitive radio system based on FBMC is better than that of cognitive radio system based on OFDM while the algorithm has low influence on primary user communication,and the algorithm can ensure the fairness of users,and satisfy the QoS requirement of mixed business.更多还原